:::Recent work on the ontological representation of typing panels will be presented.

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Revision as of 11:53, 21 May 2012

The National Center for Biomedical Ontology (NCBO) in collaboration with the Protein Ontology (PRO) and the Infectious Disease Ontology (IDO) will host a three-day dissemination workshop in Buffalo, NY on June 11-13, 2012.

Day 1 will provide a survey of current ontology-based research in immunology and infectious disease with a view to future coordination among ontology developers and users in this field.

Day 2 will be focused on flow cytometry, including the question of the Cell and Protein Ontologies and of the role of surface protein expression in cell type classification.

Day 3 will include a session devoted to the use of ontologies to assist clinicians working with infectious disease data, followed by a session on the Ontology for General Medical Science.

To identify and coordinate activities on-going in immunology ontology and related fields, with special attention to the use of ontologies to support clinical data analysis in flow cytometry and related fields.

Registration

This meeting is free for registered participants. Space is limited and those interested in participating should contact Barry Smith as soon as possible.

Draft Schedule

Day 1: Monday, June 11, 2012

09:00 Registration and Breakfast

An Overview of Ontologies to Support Research in Immunology and Infectious Disease

Morning: The Gene Ontology, Reactome, The Immunology Ontology, The Immune Epitope Ontology and the Allergy Ontology

We will survey the goals of the meeting, and describe the relations between a number of interdependent ontologies being developed in the domain of immunology.

10:00 Alexander Diehl (University at Buffalo)

The Gene Ontology and Immune System Processes

The Gene Ontology contains a wealth of terms covering immune system processes for the annotation of proteins involved in the functioning of the immune system. I will provide a overview of these terms and their use in GO annotation.

10:30 Break

11:00 Cliburn Chan (Duke University)

Ontology for cellular immune networks

Will describe initial work on an ontology of cellular immune networks that is designed to capture the qualitative cytokine expression patterns and cellular phenotypes associated with specific immune activation networks (e.g. Th1 network). We will outline use of the ontology for immune assay integration and statistical enrichment analysis.

11:30 Anna Maria Masci (Duke University)

The Immunology Ontology (with special focus on the liver)

An emerging scenario is uncovering immune response as a sophisticated biological process, which requires an intensive cross-talk between immunocytes, parenchymal and stromal cell types. These timely and anatomically restricted interactions regulate the outcome of immune response to damage induced by stress and pathogens. Due to its complexity and patho-physiological relevance, the liver represents an interesting prototype of context-dependent immune response. We will introduce the Liver Immunology Ontology (LIO), which has as primary goal the representation of the immune response induced in the context of the liver.

12:00 Peter d'Eustacho (New York University)

Innate Immunity: Signaling via Toll-Like Receptors in Reactome

The innate immune responses mediated by Toll-like receptors (TLR) provide a first line of defense against microbial pathogens in many vertebrates. In Reactome we have integrated annotations of human TLR molecular functions with those of 6800 other human proteins involved in diverse biological processes to generate a resource suitable for data mining, pathway analysis, and other systems biology approaches. These annotations allow human TLR proteins, the complexes they form, and the functions they mediate to be classified and related to those of structurally similar TLR proteins from chicken, mouse, and other species.

Update on IDO-Core; simplified definitions; new approach to MIREOTing; new terms/definitions/relations; a template for creating an IDO Extension

15:00 Break

15:30 Albert Goldfain (Blue Highway)

Staph Aureus (Sa) IDO

16:00 Christos (Kitsos) Louis (IMBB-FORTH, Crete)

IDO Mal (Malaria Ontology)

16:30 Yu Lin (University of Michigan)

IDOBru (Brucellosis Ontology)

IDOBru is an extension ontology of IDO. We will focus on those aspects of Brucellosis represented in IDOBru as outlined in [1]. We will also discuss IDOBru's policy on use of IDs, and its treatment of Brucella-host interaction.

17:00 Oliver He (University of Michigan)

Contributions of the Vaccine Ontology (VO) to Immunology Research and Public Health

Vaccinology is applied immunology. VO is a community-based biomedical ontology in the domain of vaccine and vaccination. We will introduce the top level of VO, and sketch applications of VO in elucidating fundamental protective immune mechanisms and improving public health.

Day 2: Tuesday, June 12, 2012

Ontologies and Flow Cytometry Informatics

Background Increasingly, flow cytometry is being employed in clinical laboratories for the diagnosis, prognosis and monitoring of disease. The advent of highly multidimensional flow cytometry and automated gating algorithms for the analysis of flow cytometry data, coupled with the rise of personalized medicine, are poised to expand greatly the need for a reliable, structured framework for the representation of the types of cells present in human blood and tissues. We are currently enhancing the representation of hematopoietic and other cell types in the Cell Ontology (CL) to allow for the logical definition of cell types based on cellular attributes, and in doing so we rely on relations to terms of the Protein Ontology (PRO) as a key component of these definitions. The goal of today's session is explore how the use of clinical flow cytometry data can serve as a driver of ontology development in both the PRO and the CL by assessing current standard clinical assays and recent approaches based on automated gating of multidimensional flow cytometry.

Examples of questions to be addressed include:

Which protein isoforms and post-translationally modified forms identified by flow cytometry typing reagents need to be represented in the PRO to enable cell types defined in their terms to be represented in the CL?

How can use of the PRO and CL ontologies will promote standardization in interpretation and integration of clinical flow cytometry data?

The Cell Ontology includes over 350 terms that represent hematopoietic cell types. I will provide an overview of these terms and our strategy for representing key properties of cell types through logical definitions.

Will describe recent work on automated cell subset identification and alignment across multiple HIV-related data sets with statistical mixture models. What do we need in order to be able to use ontologies for automated annotation and labeling of cell subsets?

14:00 Nikesh Kotecha (Cytobank)

Incorporating annotations into the analysis workflow - examples using Cytobank and NCBO's BioPortal

14:30 Alexander Diehl (Buffalo)

An Ontological Treatment of Flow Cytometry Typing Panels for Leukemia and Multiple Myeloma.

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meaning to describe all aspects of how biomedical investigations are conducted. OBI builds on the Gene Ontology (GO) and related efforts that provide a formal and interoperable representation of biomedical knowledge. OBI adds the ability to describe how this knowledge was derived. OBI covers all phases of the investigation process, such as planning, execution and reporting. It represents information and material entities that participate in these processes, as well as roles and functions. The presentation will describe the state of OBI and several applications that are using it. Specific focus will be on epitope mapping and characterization experiments captured in the Immune Epitope Database (IEDB) which heavily utilizes OBI. The presentation will also point out gaps in coverage of immunological terms that are currently in OBI but poorly defined and outside the scope of OBI, and which deserve a better home.

10:30 Break

11:00 Alexander Diehl (Buffalo)

Towards an Auto-Immune Disease Ontology

I will discuss the construction of an auto-immune disease ontology through use of the Ontology of General Medical Sciences as a general framework for ontology development.

noon-3pm SESSION OPEN TO THE PUBLIC: Practical Applications of Ontologies in Clinical Research (includes lunch)

Albert Goldfain (Blue Highway / Syracuse)

Creating Personalized Infectious Disease Ontologies

Alan Ruttenberg (Buffalo)

The Protein Ontology and the treatment of protein isoforms, mutations, and aggregates of relevance to Alzheimer's Disease

Christos (Kitsos) Louis (IMBB-FORTH, Crete)

Ontologies and Vector-Borne Diseases

Werner Ceusters (Buffalo)

Assessment instruments and biomedical reality: examples in the pain domain

3pm-6pm: Working Session on the Ontology for General Medical Science (OGMS)

Moderator: Albert Goldfain (Blue Highway / Syracuse)

Topics to be treated will include:

Current status of OGMS and the OGMS Reference

Linking diseases to their underlying disorders using basis relations

Defining 'relapse' and 'remission' processes.

Updates on the Vital Sign Ontology

Recipes for OGMS-conformant extension ontologies

Close: 6:00pm

Relevant ontology efforts

GO-IP Gene Ontology -- Immunological Process (Alexander Diehl)

CL Cell ontology immune branches

PRO Protein Ontology

IO Immunology Ontology (Lindsay Cowell and Alexander Diehl)

IEO Immune Epitope Ontology (Bjoern Peters)

MHC Major Histocompatibility Complex Ontology (Bjoern Peters)

OGMS Ontology for General Medical Science (Albert Goldfain)

IDO Infectious Disease Ontology (Lindsay Cowell)

Vaccine Ontology (Oliver He)

AO Allergy Ontology (Alex C. Yu)

ND Neurological Disease Ontology (Alexander Diehl)

Participants will include

Ryan Brinkman (University of British Columbia)

Atul Butte (Stanford University)

James S. Cavenaugh (University of Rochester Medical Center)

Werner Ceusters (University at Buffalo)

Cliburn Chan (Duke University)

Quan Chen (NIH/NIAID)

Melanie Courtot (BCCRC, Vancouver)

Lindsay Cowell (University of Texas Southwestern Medical Center)

Oliver Crespo (BD Biosciences, San Jose, CA)

Paresh Dandona (Diabetes and Endocrinology Center of Western New York / University at Buffalo)